Machine Learning Projects for .NET Developers

by Mathias Brandewinder

Machine Learning Projects for .NET Developers shows you how to build smarter .NET applications that learn from data, using simple algorithms and techniques that can be applied to a wide range of real-world problems. You’ll code each project in the familiar setting of Visual Studio, while the machine learning logic uses F#, a language ideally suited to machine learning applications in .NET. If you’re new to F#, this book will give you everything you need to get started. If you’re already familiar with F#, this is your chance to put the language into action in an exciting new context. In a series of fascinating projects, you’ll learn how Along the way, you’ll learn fundamental ideas that can be applied in all kinds of real-world contexts and industries, from advertising to finance, medicine, and scientific research. While some machine learning algorithms use fairly advanced mathematics, this book focuses on simple but effective approaches. If you enjoy hacking code and data, this book is for you.

Genres: Programming

302 pages, Kindle Edition

First published June 29, 2015

Reviews

[Hans · Rating 4 out of 5]

Started reading the free sample on Google play last month. Finally restarted yesterday, hooked!, Must buy if you are interested in F# , big data, text mining or just want to learn the basics of OCR, spam filtering techniques etc. Must buy! I did.

Since I read it I moved to the Duke side of the force. But even then lessons learned here are useable on Java/Scala and ofcourse Machine Learning in General. I Really want working Type providers on Java/Scala

[Stijn · Rating 3 out of 5]

Clear overview, starting from a simple solution building up to more advanced items.
Crystal clear explanation and useful examples to get the basics of ML.
Now hope that the Microsoft.ML project is also shifting more to a F#/Functional approach.